userName
and date are the logical primary key of both old.csv file and new.csv file, in
which we want to find rows that are new, deleted and updated.
The
source data is as follows:
As can
be seen from the above data, in new.csv the 2nd and the 3rd
row are the new and the 4th row is the updated; in old.csv the 3rd
row is the deleted.
esProc
code:
A1,B1:Retrieve the
comma-separated files.
A2,B2:Sort data by
the key, as this is required by the following merge function.
A3:Find the new records by the key. merge function is used to merge data sets. @d means calculating the difference during the merge. Similar options include @u for union and @i for intersection. The computed result is as follows:
A4:Find the deleted records by the key. The computed result is as follows:
A5:Take the key fields as ordinary ones to find the updated records. The computed result is as follows:
A6:A5 is an intermediate result. We need to calculate the difference between A5 and the new records to get the updated records. The computed result is as follows:
B6:Return A6 to
JAVA program or the reporting tool.
Now all data processing work
has been finished. We’ll then integrate the esProc script into JAVA program via
JDBC. The JAVA code is as follows:
//establish a connection via esProc
JDBC
Class.forName("com.esproc.jdbc.InternalDriver");
con=
DriverManager.getConnection("jdbc:esproc:local://");
//call esProc script, whose name is
test and that can accept parameters
st =(com.esproc.jdbc.InternalCStatement)con.prepareCall("call
test()");
st.execute();//execute esProc stored
procedure
ResultSet set = st.getResultSet();//get
the result
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